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一种基于泰勒级数和偏导数的新型本构模型,用于预测镍基高温合金的高温流变行为。

A New Constitutive Model Based on Taylor Series and Partial Derivatives for Predicting High-Temperature Flow Behavior of a Nickel-Based Superalloy.

作者信息

Deng Heping, Wang Xiaolong, Yang Jingyun, Gongye Fanjiao, Li Shishan, Peng Shixin, Zhang Jiansheng, Xiao Guiqian, Zhou Jie

机构信息

Chongqing Key Laboratory of Advanced Mold Intelligent Manufacturing, College of Materials Science and Engineering, Chongqing University, Chongqing 400044, China.

China National Erzhong Group Deyang Wanhang Die Forging Co., Ltd., Deyang 618013, China.

出版信息

Materials (Basel). 2024 Jul 11;17(14):3424. doi: 10.3390/ma17143424.

Abstract

Ni-based superalloys are widely used in aerospace applications. However, traditional constitutive equations often lack the necessary accuracy to predict their high-temperature behavior. A novel constitutive model, utilizing Taylor series expansions and partial derivatives, is proposed to predict the high-temperature flow behavior of a nickel-based superalloy. Hot compression tests were conducted at various strain rates (0.01 s, 0.1 s, 1 s, and 10 s) and temperatures (850 °C to 1200 °C) to gather comprehensive experimental data. The performance of the new model was evaluated against classical models, specifically the Arrhenius and Hensel-Spittel (HS) models, using metrics such as the correlation coefficient (R), root mean square error (RMSE), sum of squared errors (SSE), and sum of absolute errors (SAE). The key findings reveal that the new model achieves superior prediction accuracy with an R value of 0.9948 and significantly lower RMSE (22.5), SSE (16,356), and SAE (5561 MPa) compared to the Arrhenius and HS models. Additionally, the stability of the first-order partial derivative of logarithmic stress with respect to temperature (∂lnσ/∂T) indicates that the logarithmic stress-temperature relationship can be approximated by a linear function with minimal curvature, which is effectively described by a second-degree polynomial. Furthermore, the relationship between logarithmic stress and logarithmic strain rate (∂lnσ/∂lnε˙) is more precisely captured using a third-degree polynomial. The accuracy of the new model provides an analytical basis for finite element simulation software. This helps better control and optimize processes, thus improving manufacturing efficiency and product quality. This study enables the optimization of high-temperature forming processes for current superalloy products, especially in aerospace engineering and materials science. It also provides a reference for future research on constitutive models and high-temperature material behavior in various industrial applications.

摘要

镍基高温合金广泛应用于航空航天领域。然而,传统本构方程往往缺乏预测其高温行为所需的精度。提出了一种利用泰勒级数展开和偏导数的新型本构模型,以预测镍基高温合金的高温流变行为。在不同应变速率(0.01 s⁻¹、0.1 s⁻¹、1 s⁻¹和10 s⁻¹)和温度(850℃至1200℃)下进行热压缩试验,以收集全面的实验数据。使用相关系数(R)、均方根误差(RMSE)、平方误差和(SSE)以及绝对误差和(SAE)等指标,将新模型的性能与经典模型(特别是阿累尼乌斯模型和亨塞尔 - 斯皮特尔(HS)模型)进行了评估。关键研究结果表明,新模型实现了卓越的预测精度,R值为0.9948,与阿累尼乌斯模型和HS模型相比,RMSE(22.5)、SSE(16356)和SAE(5561 MPa)显著更低。此外,对数应力关于温度的一阶偏导数(∂lnσ/∂T)的稳定性表明,对数应力 - 温度关系可以用曲率最小的线性函数近似,这可以用二次多项式有效地描述。此外,使用三次多项式能更精确地捕捉对数应力与对数应变速率之间的关系(∂lnσ/∂lnε˙)。新模型的精度为有限元模拟软件提供了分析基础。这有助于更好地控制和优化工艺,从而提高制造效率和产品质量。本研究能够优化当前高温合金产品的高温成形工艺,特别是在航空航天工程和材料科学领域。它还为未来在各种工业应用中关于本构模型和高温材料行为的研究提供了参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/259c/11277782/fb6265772934/materials-17-03424-g001.jpg

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